{"id":"W3209883854","doi":"10.5281/zenodo.5620889","title":"Presentation: Working with Restricted Access and Big Data","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Data Analysis and Archiving","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Presentation (obstetrics); Computer science; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008758638,0.001655004,0.0008596277,0.001215701,0.004312275,0.009246169,0.002113261,0.004015506,0.4654788],"category_scores_gemma":[0.02040029,0.0004834277,0.0009173991,0.0009177965,0.001213123,0.003844625,0.007970439,0.005101314,0.1960348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003213439,"about_ca_system_score_gemma":0.007663296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01250946,"about_ca_topic_score_gemma":0.02686843,"domain_scores_codex":[0.9964741,0.0007317364,0.0001291958,0.000466322,0.001376701,0.0008220056],"domain_scores_gemma":[0.9814733,0.001721101,0.0003051636,0.001027309,0.00793506,0.007538019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002787149,0.000005715932,0.00004456243,0.00001899367,0.00000207377,0.0000316114,0.00004568498,0.00001315543,0.0001251761,0.0002758291,0.9960093,0.003400074],"study_design_scores_gemma":[0.00003809833,0.00003122314,0.0004822744,0.00007834794,0.000006475218,0.00006110676,0.0003838966,0.000156067,0.0003041439,0.001711467,0.9967253,0.00002166122],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.002784892,0.00280423,0.0137675,0.4223146,0.338752,0.001925986,0.01537338,0.004451076,0.1978264],"genre_scores_gemma":[0.01082284,0.001734048,0.003440593,0.02317761,0.03370019,0.0005811778,0.007918474,0.001742205,0.9168828],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4654788,"threshold_uncertainty_score":0.7624295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1929008923090316,"score_gpt":0.3320150903396266,"score_spread":0.139114198030595,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}